# DETR Architecture

Hardhat detection model fine-tuned based on DETR-ResNet50 architecture, designed for industrial scenarios

An object detection model fine-tuned for 20 epochs on a boat dataset, based on the facebook/detr-resnet-50 model

This model is an object detection model fine-tuned on a grasshopper detection dataset, based on Facebook's DETR-ResNet-50-DC5 architecture.

Object detection model based on RT-DETR architecture, fine-tuned on CPPE-5 dataset with pre-training on COCO and Objects365 datasets

This is an object detection model based on the DETR architecture, using ResNet-101-DC5 as the backbone network and trained on the SKU110K dataset with the number of queries set to 400.

Traffic scene object detection model based on DETR architecture, fine-tuned from facebook/detr-resnet-50

An object detection model fine-tuned on a food image dataset based on facebook/detr-resnet-101

This model is a fine-tuned version of facebook/detr-resnet-50 on a furniture dataset for object detection tasks.

DETR architecture model trained on PubTables1M and FinTabNet datasets, specialized for table structure recognition tasks

A weed detection model fine-tuned based on facebook/detr-resnet-50, suitable for computer vision tasks.

A fine-tuned model based on facebook/detr-resnet-50, specific purpose not clearly stated

A vision object detection model fine-tuned on the beyond_words_23 dataset based on facebook/detr-resnet-50

DETR object detection model fine-tuned on the CPPE-5 dataset

A table detection model based on the DETR architecture, specifically designed for extracting tables from unstructured documents